This comparison draws in part from “Considerations for Ethically Implementing AI to Advance Clinical Skills” by Alexandra Tomei, M.Ed., BCBA, LBA (TX), LSSWB (BehaviorLive), and extends it with peer-reviewed research from our library of 27,900+ ABA research articles. The decision framework, BACB ethics code references, and cross-links below are synthesized by Behaviorist Book Club.
View the original presentation →One of the most consequential decisions a behavior analyst makes is not just what intervention to use, but how to approach the clinical question in the first place. For considerations for ethically implementing ai to advance clinical skills, the difference between an evidence-based, individualized approach and a traditional, protocol-driven one can significantly impact outcomes.
This guide lays out the key factors side by side to support your clinical decision-making.
| Factor | Evidence-Based Approach | Traditional Approach |
|---|---|---|
| Data Security | Unguided Adoption: Individual practitioners choose tools without evaluating data security. Client information may be shared with consumer AI platforms that do not meet HIPAA standards. Data use by AI providers is unknown. | Framework-Guided Implementation: Data security evaluation is a prerequisite for tool adoption. Only tools meeting organizational privacy standards are approved. Data handling is documented and monitored. |
| Clinical Quality Control | Unguided Adoption: No standards for how AI outputs should be reviewed before clinical use. Some practitioners may accept AI-generated content without modification. Quality varies by individual practitioner's diligence. | Framework-Guided Implementation: Clear protocols require practitioner review and modification of all AI-generated clinical content. Fidelity monitoring verifies that review processes are followed. Quality standards are organizational, not individual. |
| Liability Exposure | Unguided Adoption: Organization may be unaware of how AI tools are being used by staff. Liability for AI-related errors or privacy breaches is undefined. No documentation trail for AI-related decisions. | Framework-Guided Implementation: AI use is documented within organizational policy. Approved tools have been evaluated for risk. Liability is managed through informed decision-making and documented oversight. |
| Practitioner Skill Development | Unguided Adoption: No monitoring of whether AI use enhances or replaces clinical skills. Deskilling may occur undetected. Training on appropriate AI use is not provided. | Framework-Guided Implementation: AI tools are specifically selected to enhance clinical skills. Practitioners are trained on appropriate use. Monitoring tracks whether clinical competencies are maintained alongside AI integration. |
| Outcome Measurement | Unguided Adoption: No systematic evaluation of whether AI tools improve or harm clinical outcomes. Adoption based on perceived convenience rather than demonstrated benefit. | Framework-Guided Implementation: Pilot programs with defined success criteria evaluate AI tool impact before broad adoption. Ongoing outcome monitoring detects benefits and problems. |
| Stakeholder Communication | Unguided Adoption: Families may be unaware that AI tools are used in their treatment. No policy on disclosure. Practitioners make individual decisions about what to share. | Framework-Guided Implementation: Organizational policy defines disclosure requirements for AI use. Families are informed as appropriate. Stakeholder concerns are solicited and addressed proactively. |
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Use this framework when approaching considerations for ethically implementing ai to advance clinical skills in your practice:
Does the data support a need for intervention? Is there a meaningful impact on the individual's quality of life, safety, or access to reinforcement?
YES → Proceed to assessment NO → Document reasoning, monitor
A functional assessment should guide intervention selection. Avoid defaulting to standard protocols without individual analysis. Consider environmental variables, setting events, and private events.
YES → Select evidence-based approach matched to function NO → Complete assessment first
Goals should be co-developed. Assent and informed consent are ethical requirements. The individual's preferences and values matter in selecting both goals and methods.
YES → Proceed with collaborative plan NO → Engage in shared decision-making
This course covers the clinical and ethical dimensions in detail with structured learning objectives and CEU credit.
Considerations for Ethically Implementing AI to Advance Clinical Skills — Alexandra Tomei · 1 BACB Ethics CEUs · $20
Take This Course →We extended this decision guide with research from our library — dig into the peer-reviewed studies behind each approach, in plain-English summaries written for BCBAs.
280 research articles with practitioner takeaways
279 research articles with practitioner takeaways
244 research articles with practitioner takeaways
1 BACB Ethics CEUs · $20 · BehaviorLive
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All behavior-analytic intervention is individualized. The information on this page is for educational purposes and does not constitute clinical advice. Treatment decisions should be informed by the best available published research, individualized assessment, and obtained with the informed consent of the client or their legal guardian. Behavior analysts are responsible for practicing within the boundaries of their competence and adhering to the BACB Ethics Code for Behavior Analysts.